---
license: mit
base_model: intfloat/multilingual-e5-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: multilingual-e5-large-finetuned-autext24
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multilingual-e5-large-finetuned-autext24

This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2096
- Accuracy: 0.9673
- F1: 0.9673

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 4798  | 0.1903          | 0.9527   | 0.9526 |
| 0.1396        | 2.0   | 9596  | 0.1751          | 0.9672   | 0.9672 |
| 0.1396        | 3.0   | 14394 | 0.2093          | 0.9647   | 0.9646 |
| 0.0391        | 4.0   | 19192 | 0.1954          | 0.9690   | 0.9690 |
| 0.0391        | 5.0   | 23990 | 0.2096          | 0.9673   | 0.9673 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1